In this paper, we describe our participation in the TempEval-3 challenge. With our multi- lingual temporal tagger HeidelTime, we ad- dressed task A, the extraction and normaliza- tion of temporal expressions for English and Spanish. Exploiting HeidelTime?s strict sep- aration between source code and language- dependent parts, we tuned HeidelTime?s ex- isting English resources and developed new Spanish resources. For both languages, we achieved the best results among all partici- pants for task A, the combination of extraction and normalization. Both the improved English and the new Spanish resources are publicly available with HeidelTime.